Quantized Hybrid Precoding Design for Millimeter-Wave Large-Scale MIMO Systems

详细信息    查看全文 | 推荐本文 |

英文篇名：Quantized Hybrid Precoding Design for Millimeter-Wave Large-Scale MIMO Systems 作者：Zelin ; Lu ; Yunliang ; Zhang ; Jiayi ; Zhang 英文作者：Zelin Lu;Yunliang Zhang;Jiayi Zhang;International School, Beijing University of Posts and Telecommunications;School of Electronic and Information Engineering, Beijing Jiaotong University;National Mobile Communications Research Laboratory, Southeast University; 英文关键词：millimeter wave;;large-scale MIMO;;hybrid precoding;;quantization 中文刊名：ZGTO 英文刊名：China Communications 机构：International School, Beijing University of Posts and Telecommunications;School of Electronic and Information Engineering, Beijing Jiaotong University;National Mobile Communications Research Laboratory, Southeast University; 出版日期：2019-04-15 出版单位：中国通信 年：2019 期：v.16 基金：supported in part by the National Key R&D Program of China (No. 2016YFE0200900);; Major Projects of Beijing Municipal Science and Technology Commission (No. Z181100003218010);; National Natural Science Foundation of China (Nos. 61601020, 61725101 and U1834210);; the Beijing Natural Science Foundation (Nos. 4182049, L171005 and L172020);; the open research fund of National Mobile Communications Research Laboratory, Southeast University (No. 2018D04);; Key Laboratory of Optical Communication and Networks (No. KLOCN2018002) 语种：英文; 页：ZGTO201904011 页数：9 CN：04 ISSN：11-5439/TN 分类号：136-144

摘要

Millimeter wave(mmWave) and large-scale multiple input multiple output(MIMO) are two emerging technologies in fifth-generation wireless communication systems. The power consumption and hardware cost of radio frequency(RF) chains increase exponentially with the bit resolution of analog-to-digital converters(ADCs) and digital-to-analog converters(DACs). One promising solution is to employ few RF chains with low-bit ADCs and DACs. In this paper, we consider mmWave large-scale MIMO systems with low bits DACs and ADCs. Leveraging on the Bussgang theorem and the additive quantization noise model(AQNM), a closed-form expression of the achievable rate is derived to show the effect of the ADCs? and DACs? resolution. Moreover, an orthogonal matching pursuit(OMP) based hybrid precoding algorithm is proposed to increase the achievable rate. Our results show that the impact of DACs is more pronounced than the impact of ADCs. Furthermore, 5-bit ADCs and DACs are sufficient at the transceiver to operate without a significant performance loss.
        Millimeter wave(mmWave) and large-scale multiple input multiple output(MIMO) are two emerging technologies in fifth-generation wireless communication systems. The power consumption and hardware cost of radio frequency(RF) chains increase exponentially with the bit resolution of analog-to-digital converters(ADCs) and digital-to-analog converters(DACs). One promising solution is to employ few RF chains with low-bit ADCs and DACs. In this paper, we consider mmWave large-scale MIMO systems with low bits DACs and ADCs. Leveraging on the Bussgang theorem and the additive quantization noise model(AQNM), a closed-form expression of the achievable rate is derived to show the effect of the ADCs? and DACs? resolution. Moreover, an orthogonal matching pursuit(OMP) based hybrid precoding algorithm is proposed to increase the achievable rate. Our results show that the impact of DACs is more pronounced than the impact of ADCs. Furthermore, 5-bit ADCs and DACs are sufficient at the transceiver to operate without a significant performance loss.

引文

[1]V.W.Wong,R.Schober,D.W.K.Ng,and L.-C.Wang,Key Technologies for 5G Wireless Systems.Cambridge University Press,2017.
    [2]W.Feng,Y.Wang,D.Lin,N.Ge,J.Lu,and S.Li,“When mmWave communications meet network densification:A scalable interference coordination perspective,”IEEE J.Sel.Areas Commun.,vol.35,no.7,pp.1459-1471,Jul.2017.
    [3]A.Morgado,K.M.S.Huq,S.Mumtaz,and J.Rodriguez,“A survey of 5G technologies:Regulatory,standardization and industrial perspectives,”Digital Commun.Netw.,vol.4,no.2,pp.87-97,Apr.2018.
    [4]J.Zhang,L.Dai,X.Li,Y.Liu,and L.Hanzo,“On low-resolution ADCs in practical 5G millimeter-wave massive MIMO systems,”IEEE Commun.Mag.,vol.56,no.7,pp.205-211,Jul.2018.
    [5]X.Gao,L.Dai,S.Han,I.Chih-Lin,and R.W.Heath,“Energy-efficient hybrid analog and digital precoding for mmWave MIMO systems with large antenna arrays,”IEEE J.Sel.Areas Commun.,vol.34,no.4,pp.998-1009,Apr.2016.
    [6]C.Liu,W.Feng,T.Wei,and N.Ge,“Fairness-oriented hybrid precoding for massive MIMOmaritime downlink systems with large-scale CSIT,”China Commun.,vol.15,no.1,pp.52-61,Jan.2018.
    [7]J.Zhang,L.Dai,Z.He,B.Ai,and O.A.Dobre,“Mixed-ADC/DAC multipair massive MIMO relaying systems:Performance analysis and power optimization,”IEEE Trans.Commun.,vol.67,no.1,pp.140-153,Jan.2019.
    [8]T.S.Rappaport,G.R.MacCartney,M.K.Samimi,and S.Sun,“Wideband millimeter-wave propagation measurements and channel models for future wireless communication system design,”IEEE Trans.Commun.,vol.63,no.9,pp.3029-3056,Sep.2015.
    [9]J.Zhang,L.Dai,Z.He,S.Jin,and X.Li,“Performance analysis of mixed-ADC massive MIMOsystems over Rician fading channels,”IEEE J.Sel.Areas Commun.,vol.35,no.6,pp.1327-1338,Jun.2017.
    [10]X.Yu,J.-C.Shen,J.Zhang,and K.B.Letaief,“Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems,”IEEE J.Sel.Topics Signal Process.,vol.10,no.3,pp.485-500,Apr.2016.
    [11]F.Sohrabi and W.Yu,“Hybrid analog and digital beamforming for mmWave OFDM large-scale antenna arrays,”IEEE J.Sel.Areas Commun.,vol.35,no.7,pp.1432-1443,Jul.2017.
    [12]K.Roth and J.A.Nossek,“Achievable rate and energy efficiency of hybrid and digital beamforming receivers with low resolution ADC,”IEEE J.Sel.Areas Commun.,vol.35,no.9,pp.2056-2068,Sep.2017.
    [13]J.Mo,A.Alkhateeb,S.Abu-Surra,and R.W.Heath,“Hybrid architectures with few-bit ADCreceivers:Achievable rates and energy-rate tradeoffs,”IEEE Trans.Wireless Commun.,vol.16,no.4,pp.2274-2287,Apr.2017.
    [14]L.N.Ribeiro,S.Schwarz,M.Rupp,and A.L.F.De Almeida,“Energy efficiency of mmWave massive MIMO precoding with low-resolution DACs,”IEEE J.Sel.Topics Signal Process.,vol.12,no.2,pp.298-312,Feb.2018.
    [15]T.S.Rappaport,R.W.Heath,R.C.Daniels,and J.N.Murdock,Millimeter wave wireless communications.Pearson Education,2014.
    [16]O.El Ayach,S.Rajagopal,S.Abu-Surra,Z.Pi,and R.W.Heath,“Spatially sparse precoding in millimeter wave MIMO systems,”IEEE Trans.Wireless Commun.,vol.13,no.3,pp.1499-1513,Mar.2014.
    [17]S.Jacobsson,G.Durisi,M.Coldrey,T.Goldstein,and C.Studer,“Quantized precoding for massive MU-MIMO,”IEEE Trans.Commun.,vol.65,no.11,pp.4670-4684,Jul.2017.
    [18]J.Zhang,L.Dai,S.Sun,and Z.Wang,“On the spectral efficiency of massive MIMO systems with low-resolution ADCs.”IEEE Commun.Lett.,vol.20,no.5,pp.842-845,May 2016.
    [19]O.Orhan,E.Erkip,and S.Rangan,“Low power analog-to-digital conversion in millimeter wave systems:Impact of resolution and bandwidth on performance,”in Proc.Inf.Theory and Applications Workshop,2015,pp.191-198.
    [20]J.Zhang,X.Xue,E.Bjornson,B.Ai,and S.Jin,“Spectral efficiency of multipair massive MIMOtwo-way relaying with hardware impairments,”IEEE Wireless Commun.Lett.,vol.7,no.1,pp.14-17,Jan.2018.
    [21]A.Mezghani and J.A.Nossek,“Capacity lower bound of MIMO channels with output quantization and correlated noise,”in Proc IEEE ISIT,2012.
    [22]J.Max,“Quantizing for minimum distortion,”IEEE Trans.Inf.Theory,vol.6,no.1,pp.7-12,Mar.1960.
    [23]M.Joham,W.Utschick,and J.A.Nossek,“Linear transmit processing in MIMO communications systems,”IEEE Trans.Signal Process.,vol.53,no.8,pp.2700-2712,Aug.2005.